{"id":"https://openalex.org/W2962961015","doi":"https://doi.org/10.1609/aaai.v33i01.33018585","title":"Skeleton-Based Gesture Recognition Using Several Fully Connected Layers with Path Signature Features and Temporal Transformer Module","display_name":"Skeleton-Based Gesture Recognition Using Several Fully Connected Layers with Path Signature Features and Temporal Transformer Module","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2962961015","doi":"https://doi.org/10.1609/aaai.v33i01.33018585","mag":"2962961015"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33018585","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018585","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v33i01.33018585","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100436373","display_name":"Chenyang Li","orcid":"https://orcid.org/0000-0001-6473-5784"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyang Li","raw_affiliation_strings":["South China University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067715727","display_name":"Xin Zhang","orcid":"https://orcid.org/0000-0003-2901-2593"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhang","raw_affiliation_strings":["South China University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039681592","display_name":"Lufan Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lufan Liao","raw_affiliation_strings":["South China University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080674767","display_name":"Lianwen Jin","orcid":"https://orcid.org/0000-0002-5456-0957"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianwen Jin","raw_affiliation_strings":["South China University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071177749","display_name":"Weixin Yang","orcid":"https://orcid.org/0000-0002-6028-3597"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weixin Yang","raw_affiliation_strings":["South China University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":10.9671,"has_fulltext":true,"cited_by_count":48,"citation_normalized_percentile":{"value":0.99501247,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"33","issue":"01","first_page":"8585","last_page":"8593"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7697069644927979},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6513926982879639},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.61924147605896},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.6038127541542053},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5895603895187378},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5630630850791931},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5062726736068726},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.4818481206893921},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.45166635513305664},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33756789565086365},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33175814151763916}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7697069644927979},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6513926982879639},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.61924147605896},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.6038127541542053},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5895603895187378},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5630630850791931},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5062726736068726},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.4818481206893921},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.45166635513305664},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33756789565086365},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33175814151763916},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v33i01.33018585","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018585","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/4878","is_oa":true,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/4878","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4878/4751","source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33018585","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018585","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1378097553","display_name":null,"funder_award_id":"2016YFB1001405","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G1673406361","display_name":null,"funder_award_id":"2017A030312006","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320290","display_name":"University of Oxford","ror":"https://ror.org/052gg0110"},{"id":"https://openalex.org/F4320329878","display_name":"Central University Basic Research Fund of China","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W203345490","https://openalex.org/W603908379","https://openalex.org/W846669277","https://openalex.org/W1462226831","https://openalex.org/W1522734439","https://openalex.org/W1904365287","https://openalex.org/W1926645898","https://openalex.org/W1950788856","https://openalex.org/W1990429558","https://openalex.org/W1995113806","https://openalex.org/W2004095444","https://openalex.org/W2048821851","https://openalex.org/W2074884967","https://openalex.org/W2119818729","https://openalex.org/W2133463914","https://openalex.org/W2139794777","https://openalex.org/W2143267104","https://openalex.org/W2145546283","https://openalex.org/W2160511393","https://openalex.org/W2297500149","https://openalex.org/W2413546514","https://openalex.org/W2415469094","https://openalex.org/W2467634805","https://openalex.org/W2475715656","https://openalex.org/W2526041356","https://openalex.org/W2558718173","https://openalex.org/W2587376528","https://openalex.org/W2587969154","https://openalex.org/W2606294640","https://openalex.org/W2610104114","https://openalex.org/W2735590100","https://openalex.org/W2765354204","https://openalex.org/W2768642967","https://openalex.org/W2770472008","https://openalex.org/W2770491442","https://openalex.org/W2771248633","https://openalex.org/W2781400102","https://openalex.org/W2787731280","https://openalex.org/W2798498022","https://openalex.org/W2806985529","https://openalex.org/W2895445581","https://openalex.org/W2951208315","https://openalex.org/W2952587893","https://openalex.org/W2963177663","https://openalex.org/W2963370140","https://openalex.org/W2964304707","https://openalex.org/W3106415951","https://openalex.org/W3123822062","https://openalex.org/W4293182332","https://openalex.org/W6619091367","https://openalex.org/W6640416349","https://openalex.org/W6651679925","https://openalex.org/W6692078629","https://openalex.org/W6750156365"],"related_works":["https://openalex.org/W2073139667","https://openalex.org/W2729514902","https://openalex.org/W2024160000","https://openalex.org/W4287995534","https://openalex.org/W2998168123","https://openalex.org/W2061273563","https://openalex.org/W2970216048","https://openalex.org/W2182112479","https://openalex.org/W2507989420","https://openalex.org/W2905846897"],"abstract_inverted_index":{"The":[0,15],"skeleton":[1],"based":[2,198],"gesture":[3,223,243],"recognition":[4,244],"is":[5,113,177],"gaining":[6],"more":[7],"popularity":[8],"due":[9],"to":[10,20,26,49,92,115,200],"its":[11],"wide":[12],"possible":[13],"applications.":[14],"key":[16,165],"issues":[17],"are":[18],"how":[19,25],"extract":[21,116],"discriminative":[22],"features":[23,48,124,205],"and":[24,44,54,67,100,120,128,203,207,230],"design":[27,192],"the":[28,52,75,82,97,105,110,117,133,137,140,163,169,212,238],"classification":[29,141],"model.":[30],"In":[31,108],"this":[32],"paper,":[33],"we":[34,84,191,236],"first":[35],"leverage":[36],"a":[37,154,178,193],"robust":[38],"feature":[39],"descriptor,":[40],"path":[41],"signature":[42],"(PS),":[43],"propose":[45,85,153],"three":[46,221],"PS":[47,60,64,70,99,119,123],"explicitly":[50],"represent":[51],"spatial":[53,59,69,202],"temporal":[55,63,68,130,147,156,170,204],"motion":[56],"characteristics,":[57],"i.e.,":[58,225],"(S":[61],"PS),":[62],"(T":[65,71],"PS)":[66],"S":[72,98,122],"PS).":[73],"Considering":[74],"significance":[76],"of":[77],"fine":[78],"hand":[79],"movements":[80],"in":[81,132],"gesture,":[83],"an":[86],"\u201dattention":[87],"on":[88,146,220,241],"hand\u201d":[89],"(AOH)":[90],"principle":[91],"define":[93],"joint":[94,103],"pairs":[95],"for":[96,104,173,211],"select":[101],"single":[102],"T":[106,118,121],"PS.":[107],"addition,":[109],"dyadic":[111],"method":[112,219],"employed":[114],"that":[125,160,181,235],"encode":[126],"global":[127],"local":[129],"dynamics":[131],"motion.":[134],"Secondly,":[135],"without":[136],"recurrent":[138],"strategy,":[139],"model":[142],"still":[143],"faces":[144],"challenges":[145],"variation":[148],"among":[149],"different":[150],"sequences.":[151],"We":[152,215],"new":[155],"transformer":[157],"module":[158,180],"(TTM)":[159],"can":[161,182],"match":[162],"sequence":[164],"frames":[166],"by":[167],"learning":[168],"shifting":[171],"parameter":[172],"each":[174],"input.":[175],"This":[176],"learning-based":[179],"be":[183],"included":[184],"into":[185],"standard":[186],"neural":[187],"network":[188,199],"architecture.":[189],"Finally,":[190],"multi-stream":[194],"fully":[195],"connected":[196],"layer":[197],"treat":[201],"separately":[206],"fused":[208],"them":[209],"together":[210],"final":[213],"result.":[214],"have":[216],"tested":[217],"our":[218],"benchmark":[222],"datasets,":[224],"ChaLearn":[226,228],"2016,":[227],"2013":[229],"MSRC-12.":[231],"Experimental":[232],"results":[233],"demonstrate":[234],"achieve":[237],"state-of-the-art":[239],"performance":[240],"skeleton-based":[242],"with":[245],"high":[246],"computational":[247],"efficiency.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}